Model Comparison
GPT-5 nano vs Qwen2.5 VL 72B Instruct
Comparing GPT-5 nano and Qwen2.5 VL 72B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5 nano and Qwen2.5 VL 72B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only GPT-5 nano specifies input context (400,000 tokens). Only GPT-5 nano specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-5 nano and Qwen2.5 VL 72B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5 nano
Qwen2.5 VL 72B Instruct
License
Usage and distribution terms
GPT-5 nano is licensed under a proprietary license, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
GPT-5 nano was released on 2025-08-07, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.
GPT-5 nano is 6 months newer than Qwen2.5 VL 72B Instruct.
Aug 7, 2025
9 months ago
6mo newerJan 26, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Qwen2.5 VL 72B Instruct's cutoff date is not specified.
We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without Qwen2.5 VL 72B Instruct's cutoff date.
May 2024
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Outputs Comparison
Key Takeaways
GPT-5 nano
View detailsOpenAI
Qwen2.5 VL 72B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-5 nano vs Qwen2.5 VL 72B Instruct.